<html><head><title>The LGA Claims Data files for GAMLSS</title>
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<table width="100%"><tr><td>LGAclaims(gamlss.data)</td><td align="right">R Documentation</td></tr></table><object type="application/x-oleobject" classid="clsid:1e2a7bd0-dab9-11d0-b93a-00c04fc99f9e">
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<h2>The LGA Claims Data files for GAMLSS</h2>


<h3>Description</h3>

<p>
These are several small data files usefull for gamlss fits.
</p>
<p>
LGAclaims: the data were given by Gillian Heller and can be found in de Jong and Heller (2007).
This data set records the number of third party claims, <code>Claims</code>, in a twelve month
period between 1984-1986 in each of 176 geographical areas (local government areas) in New South Wales,
Australia. Areas are grouped into thirteen statistical divisions (<code>SD</code>). Other
recorded variables are the number of accidents, <code>Accidents</code>,  the number of people killed or
injured and population with all variables classified according to area.
</p>


<h3>Usage</h3>

<pre>


data(LGAclaims)
</pre>


<h3>Format</h3>

<p>
Data frames each with the following variable.
<dl>
<dt>Claims</dt><dd>the number of third party claims</dd>
<dt>LGA</dt><dd>Local government areas in New South Wales</dd>
<dt>SD</dt><dd>statistical divisions</dd>
<dt>Pop$_$density</dt><dd>population density</dd>
<dt>KI</dt><dd>the number of people killed or injured</dd>
<dt>Accidents</dt><dd>the number of accidents</dd>
<dt>Population</dt><dd>population size</dd>
<dt>L$_$KI</dt><dd>log of KI</dd>
<dt>L$_$Accidents</dt><dd>the log of the number of accidents</dd>
<dt>L$_$Population</dt><dd>log Population</dd>
</dl>

<h3>Details</h3>

<p>
Data sets usefull for the GAMLSS booklet
</p>


<h3>References</h3>

<p>
de Jong, P. and Heller G. (2007)  <EM>Generalized Linear Models for Insurance Data </EM>, Cambridge University Press
</p>


<h3>Examples</h3>

<pre>
data(LGAclaims)
with(LGAclaims, plot(data.frame(Claims, Pop_density, KI, Accidents, Population)))
</pre>



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